3 papers
stat.ML2026
Noise-contrastive Online Change Point Detection
Nikita Puchkin, Artur Goldman, Konstantin Yakovlev +2
We suggest a novel procedure for online change point detection. Our approach expands an idea of maximizing a discrepancy measure between points from pre-change and post-change dist…
cs.RO2025
LERa: Replanning with Visual Feedback in Instruction Following
Svyatoslav Pchelintsev, Maxim Patratskiy, Anatoly Onishchenko +7
Large Language Models are increasingly used in robotics for task planning, but their reliance on textual inputs limits their adaptability to real-world changes and failures. To add…
cs.CL2025
ATGen: A Framework for Active Text Generation
Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun +12
Active learning (AL) has demonstrated remarkable potential in reducing the annotation effort required for training machine learning models. However, despite the surging popularity…